{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "275e5a2b-10c9-4737-9789-e11fc7bb6ff1",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline \n",
    "%config InlineBackend.figure_format = 'retina'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "44d20c5c-1110-4ac2-9b31-5dad1e2b2831",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import geopandas\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cdb067b4-c69b-4e4e-b81b-dd1808c5c315",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### Create a Pandas DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "08548291-401e-4b38-88c6-9adf80ffdbcb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(\n",
    "    {'City': ['Buenos Aires', 'Brasilia', 'Santiago', 'Bogota', 'Caracas'],\n",
    "     'Country': ['Argentina', 'Brazil', 'Chile', 'Colombia', 'Venezuela'],\n",
    "     'Latitude': [-34.58, -15.78, -33.45, 4.60, 10.48],\n",
    "     'Longitude': [-58.66, -47.91, -70.66, -74.08, -66.86]})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca7ca583-8305-4cfd-ad52-93e7e1cead6e",
   "metadata": {},
   "source": [
    "#### Convert to a GeoPandas DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fe931a48-c266-4d61-a7f4-96f7a629c4a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</th>\n",
       "      <th>Country</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Buenos Aires</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>-34.58</td>\n",
       "      <td>-58.66</td>\n",
       "      <td>POINT (-58.66000 -34.58000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brasilia</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>-15.78</td>\n",
       "      <td>-47.91</td>\n",
       "      <td>POINT (-47.91000 -15.78000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Santiago</td>\n",
       "      <td>Chile</td>\n",
       "      <td>-33.45</td>\n",
       "      <td>-70.66</td>\n",
       "      <td>POINT (-70.66000 -33.45000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bogota</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>4.60</td>\n",
       "      <td>-74.08</td>\n",
       "      <td>POINT (-74.08000 4.60000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Caracas</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>10.48</td>\n",
       "      <td>-66.86</td>\n",
       "      <td>POINT (-66.86000 10.48000)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           City    Country  Latitude  Longitude                     geometry\n",
       "0  Buenos Aires  Argentina    -34.58     -58.66  POINT (-58.66000 -34.58000)\n",
       "1      Brasilia     Brazil    -15.78     -47.91  POINT (-47.91000 -15.78000)\n",
       "2      Santiago      Chile    -33.45     -70.66  POINT (-70.66000 -33.45000)\n",
       "3        Bogota   Colombia      4.60     -74.08    POINT (-74.08000 4.60000)\n",
       "4       Caracas  Venezuela     10.48     -66.86   POINT (-66.86000 10.48000)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf = geopandas.GeoDataFrame(\n",
    "    df, geometry=geopandas.points_from_xy(df.Longitude, df.Latitude))\n",
    "\n",
    "gdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "72cc95ad-d368-499e-bbc5-14a4d3d49261",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 248,
       "width": 191
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))\n",
    "\n",
    "# We restrict to South America.\n",
    "ax = world[world.continent == 'South America'].plot(\n",
    "    color='white', edgecolor='black')\n",
    "\n",
    "# We can now plot our ``GeoDataFrame``.\n",
    "gdf.plot(ax=ax, color='red')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1e06f300-a25b-4585-b691-8eca427726bb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "reMars2022:Python",
   "language": "python",
   "name": "conda-env-reMars2022-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
